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Physically informed data-driven modeling of active nematics
A continuum description is essential for understanding a variety of collective phenomena in active matter. However, building quantitative continuum models of active matter from first principles can be extremely challenging due to both the gaps in our knowledge and the complicated structure of nonlin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321743/ https://www.ncbi.nlm.nih.gov/pubmed/37406118 http://dx.doi.org/10.1126/sciadv.abq6120 |
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author | Golden, Matthew Grigoriev, Roman O. Nambisan, Jyothishraj Fernandez-Nieves, Alberto |
author_facet | Golden, Matthew Grigoriev, Roman O. Nambisan, Jyothishraj Fernandez-Nieves, Alberto |
author_sort | Golden, Matthew |
collection | PubMed |
description | A continuum description is essential for understanding a variety of collective phenomena in active matter. However, building quantitative continuum models of active matter from first principles can be extremely challenging due to both the gaps in our knowledge and the complicated structure of nonlinear interactions. Here, we use a physically informed data-driven approach to construct a complete mathematical model of an active nematic from experimental data describing kinesin-driven microtubule bundles confined to an oil-water interface. We find that the structure of the model is similar to the Leslie-Ericksen and Beris-Edwards models, but there are appreciable and important differences. Rather unexpectedly, elastic effects are found to play no role in the experiments considered, with the dynamics controlled entirely by the balance between active stresses and friction stresses. |
format | Online Article Text |
id | pubmed-10321743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103217432023-07-06 Physically informed data-driven modeling of active nematics Golden, Matthew Grigoriev, Roman O. Nambisan, Jyothishraj Fernandez-Nieves, Alberto Sci Adv Physical and Materials Sciences A continuum description is essential for understanding a variety of collective phenomena in active matter. However, building quantitative continuum models of active matter from first principles can be extremely challenging due to both the gaps in our knowledge and the complicated structure of nonlinear interactions. Here, we use a physically informed data-driven approach to construct a complete mathematical model of an active nematic from experimental data describing kinesin-driven microtubule bundles confined to an oil-water interface. We find that the structure of the model is similar to the Leslie-Ericksen and Beris-Edwards models, but there are appreciable and important differences. Rather unexpectedly, elastic effects are found to play no role in the experiments considered, with the dynamics controlled entirely by the balance between active stresses and friction stresses. American Association for the Advancement of Science 2023-07-05 /pmc/articles/PMC10321743/ /pubmed/37406118 http://dx.doi.org/10.1126/sciadv.abq6120 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Physical and Materials Sciences Golden, Matthew Grigoriev, Roman O. Nambisan, Jyothishraj Fernandez-Nieves, Alberto Physically informed data-driven modeling of active nematics |
title | Physically informed data-driven modeling of active nematics |
title_full | Physically informed data-driven modeling of active nematics |
title_fullStr | Physically informed data-driven modeling of active nematics |
title_full_unstemmed | Physically informed data-driven modeling of active nematics |
title_short | Physically informed data-driven modeling of active nematics |
title_sort | physically informed data-driven modeling of active nematics |
topic | Physical and Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10321743/ https://www.ncbi.nlm.nih.gov/pubmed/37406118 http://dx.doi.org/10.1126/sciadv.abq6120 |
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